Triple

T3192521
Position Surface form Disambiguated ID Type / Status
Subject New York City Subway 4 line E66855 entity
Predicate fareSystem P395 FINISHED
Object MetroCard E3073 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MetroCard | Statement: [New York City Subway 4 line, fareSystem, MetroCard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MetroCard
Context triple: [New York City Subway 4 line, fareSystem, MetroCard]
  • A. MetroCard chosen
    MetroCard is a magnetic stripe payment card formerly used as the primary method for paying fares on New York City’s public transit system, including subways and buses.
  • B. SmarTrip
    SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
  • C. MTA New York City Subway fare system
    The MTA New York City Subway fare system is the payment and ticketing framework that governs how riders pay to use New York City’s subway network, including methods like MetroCard and OMNY.
  • D. Opal card
    The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
  • E. Oyster card
    The Oyster card is a rechargeable smartcard used for convenient, cashless payment on public transport services across London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e81e6f98819099317f97f0c7f546 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:07 p.m.